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electricsheepafrica/africa-cote-d-ivoire-evolution-de-la-population-ivoirienne-par-grands-groupes-e-54185db4

Evolution De La Population Ivoirienne Par Grands Groupes E | Africa (Cote d'Ivoire DataFair) 8 rows - 1 Africa country/area - 1975-2021 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 8 rows from Cote d'Ivoire DataFair, covering Evolution De La Population Ivoirienne Par Grands Groupes E. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-evolution-de-la-population-ivoirienne-par-grands-groupes-e-54185db4.

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Dataset Card

Evolution De La Population Ivoirienne Par Grands Groupes E | Africa (Cote d'Ivoire DataFair)

8 rows - 1 Africa country/area - 1975-2021 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 8 rows from Cote d'Ivoire DataFair, covering Evolution De La Population Ivoirienne Par Grands Groupes E. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Demographic datasets help analysts understand population structure, household conditions, migration, gender, age, and settlement patterns.

Source-provided context: Normalized CSV export exposed by the Data Fair API.

How To Read This Dataset

  • —One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
  • —Primary geography column: country_iso3.
  • —Best time column: not detected.
  • —Time coverage basis: source metadata.
  • —Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

DimensionValue
Rows8
Countries/areas1
First period1975
Last period2021
Indicators0
Columns22
Source formatCSV

Geographic Coverage

Top areas shown below, sorted by row count when available:

AreaRowsFirst yearLast yearName
CIV819752021Côte d'Ivoire

Indicators, Variables, Or Resource Contents

  • —This repo preserves one source tabular resource with its usable columns kept together.

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier assigned during Electric Sheep Africa engineering.rg-0b8eiqk51bqrx-xbi0gjv:full:0
country_iso3dictionary<values=string, indices=int8, ordered=0>ISO3 country or area code.CIV
country_namedictionary<values=string, indices=int8, ordered=0>Country or area name.Côte d'Ivoire
groupes_ethniquesstringSource column from the original resource.Akan
population_rgph_1975doubleSource column from the original resource.2212942.0
population_rgph_1988int64Source column from the original resource.3251226
population_rgph_1998int64Source column from the original resource.4788797
population_rgph_2021int64Source column from the original resource.8719247
taam_1975_1981doubleSource column from the original resource.1.7
taam_1988_1998doubleSource column from the original resource.1.7
taam_1998_2021doubleSource column from the original resource.2.8
source_period_start_yearint64Start year inferred from source metadata.1975
source_period_end_yearint64End year inferred from source metadata.2021
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.1975-2021
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.Agence Nationale de la Statistique (ANStat)
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.Evolution de la population ivoirienne par grands groupes ethnique de ...
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.Evolution de la population ivoirienne par grands groupes ethnique de ...
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.rg-0b8eiqk51bqrx-xbi0gjv
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.rg-0b8eiqk51bqrx-xbi0gjv:full
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.gouv.ci/data-fair/api/v1/datasets/evolution-de-la-popula...
license_iddictionary<values=string, indices=int8, ordered=0>Source license identifier.other-open
retrieved_atdictionary<values=string, indices=int8, ordered=0>UTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-27T10:23:33Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-cote-d-ivoire-evolution-de-la-population-ivoirienne-par-grands-groupes-e-54185db4")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

python
print(df.info())
print(df.head())

Filter By Geography

python
if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "CIV"]

Time-Series Pattern

python
if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

python
if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

  • —No canonical year/date column was detected in the packaged table; use source metadata and domain context for temporal interpretation.
  • —Missing values are preserved rather than silently imputed.
  • —Column names are standardized for machine use; source meanings are preserved where known.
  • —Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

Transformations Applied

  • —Converted the source table to Parquet for efficient analytics and ML workflows.
  • —Added or preserved source provenance columns where available.
  • —Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
  • —Preserved source-reported values without analytical imputation.

Suggested Analyses

  • —Build demographic profiles
  • —Normalize indicators per capita
  • —Join with service-delivery datasets
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_cote_d_ivoire_evolution_de_la_population_ivoirienne_par_grands_groupes_e_2021,
  title        = {Evolution De La Population Ivoirienne Par Grands Groupes E | Africa (Cote d'Ivoire DataFair)},
  author       = {Agence Nationale de la Statistique (ANStat)},
  year         = {2021},
  url          = {https://data.gouv.ci/datasets/evolution-de-la-population-ivoirienne-par-grands-groupes-ethnique-de-1975-a-2021},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-evolution-de-la-population-ivoirienne-par-grands-groupes-e-54185db4}}
}

License

Released under other-open.

Original data is published by Agence Nationale de la Statistique (ANStat). Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.


Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.gouv.ci/datasets/evolution-de-la-population-ivoirienne-par-grands-groupes-ethnique-de-1975-a-2021